code: def test_pass_pca_corr():
      X, y = iris_data()
      plot_pca_correlation_graph(
          X, variables_names=["1", "2", "3", "4"]
      )
  
file_path: mlxtend/mlxtend/plotting/tests/test_pca_corr_graph.py
imports: import pytest
  from packaging.version import Version
  from sklearn import __version__
  from mlxtend.data import iris_data
  from mlxtend.plotting import plot_pca_correlation_graph
label_desc: Use image node_id 1 for calling a global function with example usage: test_pass_pca_corr() without return types